Computer Vision Annotation Tool: Difference between revisions

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{{Infobox software

| name = Computer Vision Annotation Tool

| developer = [[IntelCVAT.ai]]

| released = {{Start date and age|2018|06|29}}

| repo = {{URL|https://github.com/openvinotoolkitcvat-ai/cvat}}

| screenshot = cvat (2).jpg

| caption = CVAT version 12.70.0

| programming language = [[JavaScript]], [[CSS]], [[Python (programming language)|Python]], [[HTML]], [[Django (web framework)|Django]]

| operating system = [[Windows 7]] or later, [[OS X 10.11]] or later, [[Linux]]

| language = English (US)

| genre = Image and video annotation tool

| license = [[MIT License]]<ref>{{cite web |url=https://github.com/openvinotoolkitopencv/cvat/blob/develop/LICENSE |title=cvat_LICENSE at develop · openvinotoolkitopencv/cvat |publisher=[[IntelCVAT.ai]] |website=GitHub}}</ref>

| website = {{URL|https://openvinotoolkitwww.github.io/cvat/about.ai/}}

}}

'''Computer Vision Annotation Tool''' (CVAT) is aan [[free and open-source software|free, open source]], [[web application|web-based]] [[list of manual image annotation tools|image and video annotation tool]] which is used for labeling data for [[computer vision]] algorithms. Originally developed by [[Intel]], CVAT is designed for use by a professional data annotation team, with a [[user interface]] optimized for computer vision annotation tasks.<ref>{{cite web |url=https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/ |title=Intel open-sources CVAT, a toolkit for data labeling |date=2019-03-05 |website=VentureBeat |language=en-US |access-date=2019-08-13}}</ref>

CVAT supports the primary tasks of [[supervised learning|supervised machine learning]]: [[object detection]], [[image classification]], and [[image segmentation]]. CVAT allows users to annotate data for each of these cases.<ref>{{cite web |url=https://software.intel.com/content/www/us/en/develop/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation.html |title=Computer Vision Annotation Tool: A Universal Approach to Data Annotation |date=2019-03-04 |website=software.intel.com |language=en |access-date=2019-08-13}}</ref>

CVAT has many powerful features, including [[interpolation]] of shapes between key frames, semi-automatic annotation using [[deep learning]] models, shortcuts for most critical actions, a dashboard with a list of annotation projects and tasks, [[Lightweight Directory Access Protocol|LDAP]] and [[basic access authentication]], etc.<ref>{{citation |title=User's guide of Computer Vision Annotation Tool |date=2019-08-13 |url=https://opencv.github.com/openvinotoolkitio/cvat/blobdocs/master/cvat/apps/documentation/user_guide.md |publisher=openvinotoolkitCVAT.ai |access-date=2021-07-29}}</ref>

CVAT is written mainly in [[TypeScript]], [[React (JavaScript library)|React]], [https://ant.design Ant Design], [[CSS]], [[Python (programming language)|Python]], and [[Django (web framework)|Django]]. It is distributed under the [[MIT License]], and its source code is available on [[GitHub]].

CVAT team hosts an online version of the data annotation platform at cvat.ai as [[SaaS]].

Intel hosts a free demonstration installation online at [https://cvat.org cvat.org]. (Registration required. No introduction there.)

==See also==

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==External links==

* [https://blog.roboflow.com/cvat/ Getting Started with CVAT - Annotation for Computer Vision]

* [https://github.com/topics/image-annotation Image annotation tools on GitHub]

* [https://www.datasetlist.com/tools/ Annotation tools for building datasets]